Speaker:	Shumpei Ishikawa (UTokyo / National Cancer Center)
Title:	Transformative Impact of AI in Pathology on Biology and Medicine
Date (JST):	Wed, Sep 11, 2024, 15:30 - 17:00
Place:	Lecture Hall
Abstract:	The diagnosis of many diseases, especially cancer is usually made by pathological diagnosis. Pathological diagnosis is accomplished by looking at histopathology slides under a microscope. Recently, attempts have been made to quantitatively represent these complex histopathology images using artificial intelligence for diagnosis and a variety of other applications that cannot be interpreted by humans. This presentation will provide an overview of the histopathological diagnosis of cancer and the current state of artificial intelligence analysis.

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